10 Million Dollar Scam with AI-Generated Songs | AI music | AI fraud | Fraud music | Turtles AI

Michael Smith, a resident of North Carolina, has been arrested on charges of orchestrating a multimillion-dollar scam against the music industry by using thousands of bots and AI-generated songs to obtain illegitimate royalty payments. According to the federal investigation, Smith allegedly collected over $10 million through a fraudulent streaming system developed between 2017 and 2024.

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Highlights:

• Michael Smith accused of over $10 million fraud through artificial streaming of AI-created songs.
• Use of thousands of bot accounts to generate billions of fake streams on music platforms.
• Collaboration with AI companies to create songs and bypass platform anti-fraud measures.
• Growing risks and challenges related to AI use in music production.

Michael Smith, 52, from Cornelius, North Carolina, is at the center of a federal investigation for one of the most sophisticated frauds ever recorded in the music industry. The charges claim Smith used "hundreds of thousands of songs created with AI" and an army of bots to generate billions of fake streams, illegally amassing over $10 million in royalty payments. Federal court documents filed in the Southern District of New York outline a meticulously executed fraud scheme carried out from 2017 to 2024, for which Smith has been indicted on charges of conspiracy to commit wire fraud, wire fraud, and conspiracy to commit money laundering.

Arrested last Wednesday, Smith faces up to 60 years in prison if convicted on all charges, each carrying a maximum sentence of 20 years. According to U.S. Attorney Damian Williams, "Michael Smith orchestrated a fraudulent operation, using AI to generate thousands of songs and artificial streams, stealing millions in royalties that should have been paid to legitimate musicians and songwriters."

The method of deceit: Creating bot accounts and artificial streaming To carry out the scam, Smith created thousands of fake accounts on music streaming platforms like Amazon Music, Apple Music, Spotify, and YouTube Music. These bot accounts were programmed to continuously play the songs for which Smith held the rights, generating artificial streaming traffic. The goal was to avoid suspicion by spreading the streams across a large number of songs. Authorities discovered that, at one point, Smith was able to generate up to 661,440 streams per day, accumulating an annual profit of approximately $1,207,128.

Smith took measures to avoid raising red flags: he distributed the fraudulent streams across thousands of songs, preventing any single track from accumulating a suspiciously high number of plays. This allowed him to operate undetected until the scheme was uncovered.

The use of AI to sustain the scam Over time, Smith needed new methods to avoid detection. He collaborated with the CEO of a company specializing in AI-generated music and a music promoter to create a vast quantity of songs. Between 2018 and 2019, the promoter provided thousands of songs weekly that Smith uploaded to streaming platforms, manipulating the streams through his bot accounts.

The AI-created songs were assigned fictional artist names and titles, such as "Calliope Bloom" and "Calm Force," to make them appear to be produced by real artists. Smith also used fake names and information to open bot accounts, agreeing to platform terms of service that explicitly prohibited stream manipulation.

A complex and evolving system Smith’s plan continually evolved to stay ahead of platform security measures. According to the investigation, by 2019, Smith was managing about 10,000 active bot accounts and using advanced software to continuously improve the efficiency of the system. Technological improvements made the fraud increasingly difficult for platforms to detect.

During the period of the fraud, Smith allegedly generated more than 4 billion fake streams, earning over $12 million in royalties since 2019. If convicted, he could spend decades in prison.

Broader implications of AI in music Smith’s case is just one example of the potential challenges and risks associated with using AI in music. The ability to quickly and massively generate tracks with AI raises ethical and legal questions, particularly concerning the recognition of human creative work and copyright protection. Streaming platforms are adopting new measures to combat practices like Smith’s, such as introducing stricter royalty payment policies and actively monitoring suspicious accounts.